Laurence Hubert-Moy

TL;DR: In this article, a four-step framework is proposed to forecast landscape futures at fine scales by coupling scenarios and landscape modelling approaches, which has been tested on two contrasting agricultural landscapes located in the United States and France, to identify possible landscape changes based on forecasting and backcasting agriculture intensification scenarios.

TL;DR: In this article, the authors use high-resolution mapping of catchment topography and landscape pattern to define both potential denitrification sites and the dynamic hydrologic modeling at a similar spatial scale.

TL;DR: It is shown how the choice of a classification technique can significantly influence the results of crop inventories and how the accuracy of classification algorithms vary according to the landscape units of the studied area.

TL;DR: In this article, the advantages of Sentinel-2 time-series for discriminating plant communities in wet grasslands were assessed for a temperate floodplain located near Mont-Saint-Michel Bay, which is included in the long-term ecological research network.

TL;DR: In this paper, the influence of landscape features on land-use and land-cover change in agricultural watersheds has been investigated using Cellular Automata (CA) for modeling and projecting of land use change.